Natali Ruchansky

About

Natali Ruchansky is a scholar working on Information Systems, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Natali Ruchansky has authored 6 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 2 papers in Sociology and Political Science and 2 papers in Artificial Intelligence. Recurrent topics in Natali Ruchansky’s work include Misinformation and Its Impacts (2 papers), Spam and Phishing Detection (2 papers) and Graph theory and applications (1 paper). Natali Ruchansky is often cited by papers focused on Misinformation and Its Impacts (2 papers), Spam and Phishing Detection (2 papers) and Graph theory and applications (1 paper). Natali Ruchansky collaborates with scholars based in Italy, United States and Spain. Natali Ruchansky's co-authors include Yan Liu, Feng Qian, Ming Zhang, He Jiang, Karishma Sharma, Sungyong Seo, Francesco Bonchi, Nicolas Kourtellis, David García-Soriano and Francesco Gullo and has published in prestigious journals such as ACM SIGCOMM Computer Communication Review, Lecture notes in computer science and ACM Transactions on Intelligent Systems and Technology.

In The Last Decade

Co-authorship network of co-authors of Natali Ruchansky i

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Fields of papers citing papers by Natali Ruchansky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natali Ruchansky. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Natali Ruchansky. The network helps show where Natali Ruchansky may publish in the future.

Countries citing papers authored by Natali Ruchansky

Since Specialization

Citations

This map shows the geographic impact of Natali Ruchansky's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Natali Ruchansky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natali Ruchansky more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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